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About BHP
At BHP we support our people to grow, learn, develop their skills and reach their potential. With a global portfolio of operations, we offer a diverse and inclusive environment with extraordinary career opportunities. Our strategy is to focus on creating a safe work environment where our employees feel strongly connected to our values and objectives, and where the capability of our people is key to our success.
Come and be a part of this success.
About the Role
We are seeking a highly skilled and experienced Principal AI Engineer to join our BHP GenAI Agents Hub team. In this role, you will be responsible for the development, maintenance, and enhancement of our core GenAI Agents Hub platform, which is at the forefront of agentic orchestration technologies at BHP.
Reporting to the Product Owner of the BHP GenAI Agents Hub, you will work closely with cross-functional teams to design, implement, and deploy cutting-edge GenAI solutions that leverage state-of-the-art techniques such as RAG, Knowledge Graphs, and agentic orchestration frameworks like LangGraph and Strands.

Key Responsibilities

• Lead the technical strategy and implementation of GenAI agents and solutions using agentic orchestration frameworks like LangGraph and Strands
• Design and build knowledge graphs and RAG models to enhance the capabilities of our GenAI agents
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications
• Develop and maintain the core GenAI Agents Hub platform, ensuring scalability, performance, reliability, and reusability.
• Conduct research and stay up-to-date with the latest advancements in AI, machine learning, GenAI and natural language processing
• Mentor and guide junior engineers, fostering a culture of continuous learning and knowledge sharing
• Contribute to the development of best practices, coding standards, and architectural guidelines for AI systems

About You

Education:

• Bachelor’s or Master’s degree in Computer Science, PhD, Data science, Artificial Intelligence, or a related field
• Experience: Minimum of 2 years of hands-on experience in building and deploying GenAI solutions, with a strong focus on agentic orchestration frameworks, knowledge graphs, and retrieval-augmented generation (RAG)

Technical Skills:

• Proficient in Python programming language,
• Expertise in machine learning frameworks like TensorFlow, PyTorch, or Hugging Face
• Experience with natural language processing (NLP) techniques and libraries
• Familiarity with knowledge representation and reasoning techniques
• Proficient in data engineering and data processing pipelines
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)
• Familiarity with reinforcement learning and multi-agent systems

Soft Skills:

• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities
• Ability to work in a fast-paced, agile environment
• Passion for continuous learning and staying up-to-date with emerging technologies

Additional Desirable Skills:

• Experience with graph databases and graph query languages (e.g., Neo4j, Gremlin)
• Knowledge of information retrieval and question-answering systems
• Experience with open-source AI projects and contributions to the AI community
• Strong research background and publications in top-tier AI conferences or journals

If you possess the required qualifications and skills, and are passionate about pushing the boundaries of AI and agentic orchestration, we encourage you to apply for this exciting opportunity.
About Our Process
At BHP, we are committed to employing individuals who align with the BHP Charter Values and meet the requirements of the role. As part of the recruitment process, there are a number of checks which may be conducted to demonstrate applicants suitability for a role including police / criminal background checks, medical, drug and alcohol testing, due diligence checks, right to work checks, and/or reference checks.
If you are already employed directly by BHP, please log in using your BHP email address or apply via our internal jobs portal.
Supporting a Diverse Workforce
The size, stability and magnitude of our business not only provides significant opportunity for professional development, but also attractive salary packages with performance-based bonuses and a best-in-class employee share program. We know there are many aspects of our employees’ lives that are important, and work is only one of these, so we offer benefits to enable your work to fit with your life. These benefits include flexible working options, a generous paid parental leave policy, other extended leave entitlements and parent rooms.
At BHP, we know that we are strengthened by diversity. We are an Equal Opportunity employer that is committed to making BHP a safe and inclusive workplace where everyone can thrive and be at their best every day. We are focused on creating a workforce that’s more diverse and represents the communities where we work and live. providing a work environment in which everyone is included, treated fairly and with respect. We are an Equal Opportunity employer and recognise that true diversity includes gender, age, race, disability status, sexual orientation, religion, neurodiversity, education levels, and many more aspects of your identity.
BHP is committed to providing a recruitment process that is fair, equitable and accessible for all. If you have a disability, we know that it may be helpful for us to adjust our process to make it equitable for your individual situation. If you would like to reach out to someone about your situation and our recruitment process, please email us at inclusion@bhp.com

• Lead the technical strategy and implementation of GenAI agents and solutions using agentic orchestration frameworks like LangGraph and Strands
• Design and build knowledge graphs and RAG models to enhance the capabilities of our GenAI agents
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications
• Develop and maintain the core GenAI Agents Hub platform, ensuring scalability, performance, reliability, and reusability.
• Conduct research and stay up-to-date with the latest advancements in AI, machine learning, GenAI and natural language processing
• Mentor and guide junior engineers, fostering a culture of continuous learning and knowledge sharing
• Contribute to the development of best practices, coding standards, and architectural guidelines for AI system